Academic | Dr. Luke Nyhof

Oct.28

28/10/2016

0 Luke Nyhof

On the feasibility of utilising gearing to extend the rotational workspace of a class of parallel robots

Mats Isaksson · Luke Nyhof · Saeid Nahavandi

ABSTRACT: Parallel manipulators provide several benefits compared to serial manipulators of similar size. These advantages typically include higher speed and acceleration, improved position accuracy and increased stiffness. However, parallel manipulators also suffer from several disadvantages. These drawbacks commonly include a small ratio of the positional workspace relative to the manipulator footprint and a limited rotational capability of the manipulated platform. A few parallel manipulators featuring a large ratio of the positional workspace relative to the footprint have been proposed. This paper investigates the feasibility of employing gearing to extend the range of the end-effector rotation of such mechanisms. The objective is to achieve parallel manipulators where both the positional and rotational workspace are comparable to that of serial manipulators.

Journal Article · Apr 2015 · Robotics and Computer-Integrated Manufacturing

Research,Academic,Journal,Motion Simulator,Robotics,Novel,CAD

Oct.28

28/10/2016

0 Luke Nyhof

EEG Artefact Signal Filtering in Dynamic Motion Simulators

Luke Nyhof · Shady Mohamed · Timothy Black · Saeid Nahavandi

ABSTRACT: The performance of electroencephalograph (EEG)-based brain-computer interface (BCI) systems is susceptible to external influences, typically due to movement of the subject. Static flight simulators are the norm for this type of measurement in reduced risk flight training; however modern day simulators require a new level of realism. Next-generation flight simulators, such as the Deakin University Haptically Enabled Universal Motion Simulator, expose the pilot to external ‘G’ forces by physical moving the entire cockpit and pilot, motions which increase the likelihood of unwanted EEG artefacts. The filtering techniques are based on a custom designed approach to overcome the dynamic nature of the flight simulator; the techniques are based on Extended Kalman Filters to accommodate for the non-linearity of the EEG acquired signals. In this paper, the effectiveness of the proposed BCI system is presented in the dynamic nature of the simulator. The proposed BCI paradigm is tested and evaluated under real test conditions and the results analysed and compared to that of a static flight simulator.

IITSEC 2014

Research,EEG,Academic,Motion Simulator,Signal Filtering

Oct.28

28/10/2016

0 Luke Nyhof

An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain

An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network

Imali T Hettiarachchi · Shady Mohamed · Luke Nyhof · Saeid Nahavandi

ABSTRACT: Recently effective connectivity studies have gained significant attention among the neuroscience community as Electroencephalography (EEG) data with a high time resolution can give us a wider understanding of the information flow within the brain. Among other tools used in effective connectivity analysis Granger Causality (GC) has found a prominent place. The GC analysis, based on strictly causal multivariate autoregressive (MVAR) models does not account for the instantaneous interactions among the sources. If instantaneous interactions are present, GC based on strictly causal MVAR will lead to erroneous conclusions on the underlying information flow. Thus, the work presented in this paper applies an extended MVAR (eMVAR) model that accounts for the zero lag interactions. We propose a constrained adaptive Kalman filter (CAKF) approach for the eMVAR model identification and demonstrate that this approach performs better than the short time windowing-based adaptive estimation when applied to information flow analysis.

Full-text · Conference Paper · Jul 2013

Research,EEG,Academic,Journal

Dr. Luke Nyhof

Integration Data Interlock Engineer

Oct.28

On the feasibility of utilising gearing to extend the rotational workspace of a class of parallel robots

On the feasibility of utilising gearing to extend the rotational workspace of a class of parallel robots

Oct.28

EEG Artefact Signal Filtering in Dynamic Motion Simulators

EEG Artefact Signal Filtering in Dynamic Motion Simulators

Oct.28

An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain

An extended multivariate autoregressive framework for EEG-based information flow analysis of a brain network